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MongoDB Enterprise Advanced vs Vespa comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 8, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

MongoDB Enterprise Advanced
Ranking in Open Source Databases
7th
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
82
Ranking in other categories
NoSQL Databases (2nd), Managed NoSQL Databases (6th)
Vespa
Ranking in Open Source Databases
18th
Average Rating
7.6
Reviews Sentiment
5.3
Number of Reviews
3
Ranking in other categories
Vector Databases (18th)
 

Mindshare comparison

As of August 2026, in the Open Source Databases category, the mindshare of MongoDB Enterprise Advanced is 6.5%, up from 4.0% compared to the previous year. The mindshare of Vespa is 1.6%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Open Source Databases Mindshare Distribution
ProductMindshare (%)
MongoDB Enterprise Advanced6.5%
Vespa1.6%
Other91.9%
Open Source Databases
 

Featured Reviews

AB
Co-Founder at Vsigma IT Labs Pvt Ltd
Have managed customer transaction data efficiently and supported high-demand workloads with reliable performance
The integration between data warehouse could be improved. Nowadays, a lot of data is getting generated, so certain ETL flexible scripts with backend database integrations would be an improvement I could see. I will not be able to clearly say there is currently a deficiency there. All our DBs are integrated with a backend data warehouse, not necessarily AWS. When third-party data warehouses are integrated, we are seeing some ETL job performance issues. It is a one-off scenario so we have not thoroughly done any troubleshooting on that. It could be platform or third-party related issue. From the AWS standpoint, if robust integration and data warehouse integration specific tools are added in the advanced suite, that would definitely be helpful.
Ganaraj Amakrishna - PeerSpot reviewer
Lead Technical Architect at Zoro UK
Vector search has improved e‑commerce relevance but setup and learning curve still need work
Vespa definitely had its own set of challenges. It was really hard to get into initially, especially when I started implementing it in 2024 along with one junior employee, and the lack of documentation made it difficult. I aimed for an implementation with ColBERT, a sparse embedding mechanism, which I believed would fit well for e-commerce. We went through iterations during A/B testing because the initial set did not work as expected, which extended the process to about one and a half years. Vespa has a considerable learning curve, making it challenging for most people to get into, and it is also expensive, which can deter startups or those with smaller budgets from using it. Community support was decent, and we turned to it for clarifications. However, substantial improvements in documentation are necessary, especially more examples for handling DSL effectively. Having a runtime testing feature would greatly facilitate quick iterations.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"We use MongoDB for big data analysis, and we are also developing monitoring tools, planning to use MongoDB to silo out the data structure as our data grows."
"They provide a high level of technical support."
"MongoDB is relatively fast compared to relational databases."
"Migrating to MongoDB upgrades the IT environment and puts users in the NoSQL environment, which is faster."
"The solution scales very well and is very easy to replicate."
"It stores historical data with ease. For example, if you are a healthcare member, then you will have multiple records of visits to the doctors. To store such data in Oracle Database, you have to create many records. You might also have duplication problems because your records are going in again and again, because of which the data warehouse and the maintenance cost will be huge. MongoDB is comparatively lightweight. It is a JSON extract. Once you define a schema and extract it, you can push all the relationships in any way you want. It is easier to define and get different types of transactions into MongoDB. It is also easier to set it up as compared to other solutions. MongoDB is a NoSQL database, which means it is a document DB in which you can store documents that you created in BSON. It is pretty fast in response. It is faster than relational databases because it does not define any primary keys, secondary keys, tertiary keys, and all those kinds of things."
"MongoDB is a document database that we use for internet applications, logs, and all kinds of things that need quick answers, especially in the document area."
"The most valuable features of MongoDB are we have a lot of documentation and SQL-based applications that run on it."
"While conducting A/B testing, Vespa seemed to be performing slightly better than Elasticsearch, especially in search relevancy within live production systems, and its performance was decent."
"Vespa is very good and it improves our product, and we got more clients."
"The best feature to me is the LTR feature, the ranking feature to be specific."
 

Cons

"More stable indexes would be helpful in a future release. That's been an issue for some time. I don't know if it's been fixed now but we transitioned to it because we needed a search index to be able to search for things and if that goes or starts disappearing, we have to move away from that solution. I don't know if they fixed it, last time I had this issue was three years ago so they might have solved it."
"I don't see a lot of areas that need improvement."
"So I would say our compatibility and performance are the two things that came up that I know in the project we had problems with."
"MongoDB should be more stable, and support should be more efficient."
"We don't even know how to get ahold of MongoDB support."
"Overall the solution is expensive."
"When third-party data warehouses are integrated, we are seeing some ETL job performance issues."
"Sometimes, the tool goes down temporarily. There are some stability issues in the product."
"Vespa has a considerable learning curve, making it challenging for most people to get into, and it is also expensive, which can deter startups or those with smaller budgets from using it."
"We want Vespa to implement some UI features so that we can visualize how our data goes and what embeddings it stores."
"The integration is actually a pain."
 

Pricing and Cost Advice

"The pricing is favorable if you opt to install MongoDB on an Amazon EC2 instance as you won't have to pay for the extra Atlas services and can instead manage the scaling yourself. This allows for a cost-effective solution and using MongoDB on a small scale, I have been able to utilize it for free."
"MongoDB is an open-source product."
"I believe that MongoDB is free."
"MongoDB's pricing is not reasonable, but it is not as expensive as the others."
"The pricing is normal. Price-wise, the product is not too much expensive."
"The solution is open source, so it is free."
"You only have to pay for the paid version, not the open-source version."
"MongoDB's pricing is reasonable."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
8%
Construction Company
7%
Comms Service Provider
7%
Computer Software Company
12%
Comms Service Provider
9%
Energy/Utilities Company
9%
Wholesaler/Distributor
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business36
Midsize Enterprise13
Large Enterprise39
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for MongoDB?
I think it depends on the provider. For example, on DigitalOcean, they have strict routing. You have to whitelist an IP address, or you risk getting DDoS. Then if you're going for the Atlas one tha...
What needs improvement with MongoDB?
I don't really have a deep dive into it, but I see that MongoDB Enterprise Advanced has RAG and Vertex support. However, we really didn't use it because I think one thing also is that Prisma, the O...
What is your primary use case for MongoDB?
A typical use case for MongoDB Enterprise Advanced is mostly for the database, storing our data.
What is your experience regarding pricing and costs for Vespa?
The setup cost is definitely huge, and pricing is also steep. In terms of licensing, it seems generous for those who do not want to engage with Vespa's hosted services.
What needs improvement with Vespa?
Vespa definitely had its own set of challenges. It was really hard to get into initially, especially when I started implementing it in 2024 along with one junior employee, and the lack of documenta...
What is your primary use case for Vespa?
My main use case for Vespa is implementing it as the back-end search engine for an e-commerce site, where we have about six million products, or six million SKUs, that we are selling. I implemented...
 

Comparisons

 

Overview

 

Sample Customers

Facebook, MetLife, City of Chicago, Expedia, eBay, Google
1. Yahoo 2. Verizon Media 3. Oath 4. Tumblr 5. AOL 6. Huffington Post 7. TechCrunch 8. Engadget 9. MapQuest 10. Moviefone 11. Autoblog 12. AOL Mail 13. Yahoo Mail 14. Yahoo Finance 15. Yahoo Sports 16. Yahoo News 17. Yahoo Search 18. Yahoo Answers 19. Yahoo Messenger 20. Yahoo Groups 21. Yahoo Weather 22. Yahoo Maps 23. Yahoo Fantasy Sports 24. Yahoo TV 25. Yahoo Movies 26. Yahoo Music 27. Yahoo Style 28. Yahoo Beauty 29. Yahoo Travel 30. Yahoo Autos 31. Yahoo Health 32. Yahoo Tech
Find out what your peers are saying about MongoDB Enterprise Advanced vs. Vespa and other solutions. Updated: August 2026.
909,725 professionals have used our research since 2012.